Overview

Brought to you by YData

Dataset statistics

Number of variables	37
Number of observations	25000
Missing cells	3752
Missing cells (%)	0.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	18.9 MiB
Average record size in memory	792.1 B

Variable types

Numeric	20
DateTime	2
Categorical	15

Alerts

`attrited` is highly overall correlated with `exit_interview_scheduled` and 1 other fields	High correlation
`base_salary` is highly overall correlated with `is_manager` and 2 other fields	High correlation
`department` is highly overall correlated with `role`	High correlation
`exit_interview_scheduled` is highly overall correlated with `attrited` and 1 other fields	High correlation
`is_manager` is highly overall correlated with `base_salary` and 3 other fields	High correlation
`level` is highly overall correlated with `is_manager`	High correlation
`months_since_hire` is highly overall correlated with `tenure_years`	High correlation
`offboarding_ticket_created` is highly overall correlated with `attrited` and 1 other fields	High correlation
`role` is highly overall correlated with `department`	High correlation
`salary_band` is highly overall correlated with `base_salary` and 1 other fields	High correlation
`stock_grants` is highly overall correlated with `base_salary` and 1 other fields	High correlation
`tenure_years` is highly overall correlated with `months_since_hire`	High correlation
`night_shift` is highly imbalanced (52.3%)	Imbalance
`engagement_score` has 1966 (7.9%) missing values	Missing
`manager_quality` has 1786 (7.1%) missing values	Missing
`employee_id` is uniformly distributed	Uniform
`salary_band` is uniformly distributed	Uniform
`employee_id` has unique values	Unique
`commute_km` has 8772 (35.1%) zeros	Zeros
`internal_moves_last_2y` has 19454 (77.8%) zeros	Zeros
`stock_grants` has 17002 (68.0%) zeros	Zeros
`sick_days` has 312 (1.2%) zeros	Zeros

Reproduction

Analysis started	2025-08-20 05:16:29.267545
Analysis finished	2025-08-20 05:17:07.647208
Duration	38.38 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

employee_id
Real number (ℝ)

Uniform Unique

Distinct	25000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	112499.5

Minimum	100000
Maximum	124999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	100000
5-th percentile	101249.95
Q1	106249.75
median	112499.5
Q3	118749.25
95-th percentile	123749.05
Maximum	124999
Range	24999
Interquartile range (IQR)	12499.5

Descriptive statistics

Standard deviation	7217.0227
Coefficient of variation (CV)	0.064151598
Kurtosis	-1.2
Mean	112499.5
Median Absolute Deviation (MAD)	6250
Skewness	0
Sum	2.8124875 × 10⁹
Variance	52085417
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
121752	1	< 0.1%
102685	1	< 0.1%
100422	1	< 0.1%
102439	1	< 0.1%
105626	1	< 0.1%
115177	1	< 0.1%
115842	1	< 0.1%
119502	1	< 0.1%
111539	1	< 0.1%
101860	1	< 0.1%
Other values (24990)	24990	> 99.9%

Value	Count	Frequency (%)
100000	1	< 0.1%
100001	1	< 0.1%
100002	1	< 0.1%
100003	1	< 0.1%
100004	1	< 0.1%
100005	1	< 0.1%
100006	1	< 0.1%
100007	1	< 0.1%
100008	1	< 0.1%
100009	1	< 0.1%

Value	Count	Frequency (%)
124999	1	< 0.1%
124998	1	< 0.1%
124997	1	< 0.1%
124996	1	< 0.1%
124995	1	< 0.1%
124994	1	< 0.1%
124993	1	< 0.1%
124992	1	< 0.1%
124991	1	< 0.1%
124990	1	< 0.1%

snapshot_date
Date

Distinct	1826
Distinct (%)	7.3%
Missing	0
Missing (%)	0.0%
Memory size	195.4 KiB

Minimum	2020-01-01 00:00:00
Maximum	2024-12-30 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

hire_date
Date

Distinct	3646
Distinct (%)	14.6%
Missing	0
Missing (%)	0.0%
Memory size	195.4 KiB

Minimum	2010-01-03 00:00:00
Maximum	2020-01-01 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

region
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

AMER	10032
EMEA	8555
APAC	6413

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	100000
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AMER
2nd row	APAC
3rd row	EMEA
4th row	AMER
5th row	APAC

Common Values

Value	Count	Frequency (%)
AMER	10032	40.1%
EMEA	8555	34.2%
APAC	6413	25.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
amer	10032	40.1%
emea	8555	34.2%
apac	6413	25.7%

Most occurring characters

Value	Count	Frequency (%)
A	31413	31.4%
E	27142	27.1%
M	18587	18.6%
R	10032	10.0%
P	6413	6.4%
C	6413	6.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	31413	31.4%
E	27142	27.1%
M	18587	18.6%
R	10032	10.0%
P	6413	6.4%
C	6413	6.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	31413	31.4%
E	27142	27.1%
M	18587	18.6%
R	10032	10.0%
P	6413	6.4%
C	6413	6.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	31413	31.4%
E	27142	27.1%
M	18587	18.6%
R	10032	10.0%
P	6413	6.4%
C	6413	6.4%

department
Categorical

High correlation

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

Engineering	7060
Sales	4435
Customer Success	3483
Finance	2522
Marketing	2505
Other values (3)	4995

Length

Max length	16
Median length	10
Mean length	9.19164
Min length	2

Characters and Unicode

Total characters	229791
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sales
2nd row	Engineering
3rd row	Sales
4th row	Engineering
5th row	HR

Common Values

Value	Count	Frequency (%)
Engineering	7060	28.2%
Sales	4435	17.7%
Customer Success	3483	13.9%
Finance	2522	10.1%
Marketing	2505	10.0%
Operations	2063	8.3%
Product	1507	6.0%
HR	1425	5.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
engineering	7060	24.8%
sales	4435	15.6%
customer	3483	12.2%
success	3483	12.2%
finance	2522	8.9%
marketing	2505	8.8%
operations	2063	7.2%
product	1507	5.3%
hr	1425	5.0%

Most occurring characters

Value	Count	Frequency (%)
e	32611	14.2%
n	30792	13.4%
i	21210	9.2%
s	16947	7.4%
g	16625	7.2%
r	16618	7.2%
a	11525	5.0%
c	10995	4.8%
t	9558	4.2%
u	8473	3.7%
Other values (16)	54437	23.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	229791	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	32611	14.2%
n	30792	13.4%
i	21210	9.2%
s	16947	7.4%
g	16625	7.2%
r	16618	7.2%
a	11525	5.0%
c	10995	4.8%
t	9558	4.2%
u	8473	3.7%
Other values (16)	54437	23.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	229791	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	32611	14.2%
n	30792	13.4%
i	21210	9.2%
s	16947	7.4%
g	16625	7.2%
r	16618	7.2%
a	11525	5.0%
c	10995	4.8%
t	9558	4.2%
u	8473	3.7%
Other values (16)	54437	23.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	229791	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	32611	14.2%
n	30792	13.4%
i	21210	9.2%
s	16947	7.4%
g	16625	7.2%
r	16618	7.2%
a	11525	5.0%
c	10995	4.8%
t	9558	4.2%
u	8473	3.7%
Other values (16)	54437	23.7%

role
Categorical

High correlation

Distinct	34
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

SWE II	1231
SWE I	1213
Data Engineer	1189
Support Rep	1180
CSM	1169
Other values (29)	19018

Length

Max length	15
Median length	11
Mean length	8.65908
Min length	2

Characters and Unicode

Total characters	216477
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sales Manager
2nd row	SWE II
3rd row	AE
4th row	ML Engineer
5th row	HRBP

Common Values

Value	Count	Frequency (%)
SWE II	1231	4.9%
SWE I	1213	4.9%
Data Engineer	1189	4.8%
Support Rep	1180	4.7%
CSM	1169	4.7%
Eng Manager	1154	4.6%
Senior SWE	1142	4.6%
Support Manager	1134	4.5%
Sales Manager	1131	4.5%
ML Engineer	1131	4.5%
Other values (24)	13326	53.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
manager	4758	11.4%
ops	3930	9.4%
swe	3586	8.6%
engineer	2320	5.5%
support	2314	5.5%
sales	2231	5.3%
analyst	1270	3.0%
ii	1231	2.9%
i	1213	2.9%
data	1189	2.8%
Other values (28)	17818	42.6%

Most occurring characters

Value	Count	Frequency (%)
e	19835	9.2%
a	19376	9.0%
n	17512	8.1%
	16860	7.8%
r	14255	6.6%
S	12007	5.5%
p	10103	4.7%
g	9003	4.2%
M	8991	4.2%
E	8591	4.0%
Other values (28)	79944	36.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	216477	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	19835	9.2%
a	19376	9.0%
n	17512	8.1%
	16860	7.8%
r	14255	6.6%
S	12007	5.5%
p	10103	4.7%
g	9003	4.2%
M	8991	4.2%
E	8591	4.0%
Other values (28)	79944	36.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	216477	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	19835	9.2%
a	19376	9.0%
n	17512	8.1%
	16860	7.8%
r	14255	6.6%
S	12007	5.5%
p	10103	4.7%
g	9003	4.2%
M	8991	4.2%
E	8591	4.0%
Other values (28)	79944	36.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	216477	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	19835	9.2%
a	19376	9.0%
n	17512	8.1%
	16860	7.8%
r	14255	6.6%
S	12007	5.5%
p	10103	4.7%
g	9003	4.2%
M	8991	4.2%
E	8591	4.0%
Other values (28)	79944	36.9%

level
Categorical

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

IC2	6769
IC3	5663
IC1	4570
Manager	3015
IC4	3001
Other values (2)	1982

Length

Max length	8
Median length	3
Mean length	3.75424
Min length	2

Characters and Unicode

Total characters	93856
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	IC3
2nd row	Manager
3rd row	IC2
4th row	IC4
5th row	IC3

Common Values

Value	Count	Frequency (%)
IC2	6769	27.1%
IC3	5663	22.7%
IC1	4570	18.3%
Manager	3015	12.1%
IC4	3001	12.0%
Director	1463	5.9%
VP	519	2.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ic2	6769	27.1%
ic3	5663	22.7%
ic1	4570	18.3%
manager	3015	12.1%
ic4	3001	12.0%
director	1463	5.9%
vp	519	2.1%

Most occurring characters

Value	Count	Frequency (%)
I	20003	21.3%
C	20003	21.3%
2	6769	7.2%
a	6030	6.4%
r	5941	6.3%
3	5663	6.0%
1	4570	4.9%
e	4478	4.8%
g	3015	3.2%
n	3015	3.2%
Other values (9)	14369	15.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	93856	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
I	20003	21.3%
C	20003	21.3%
2	6769	7.2%
a	6030	6.4%
r	5941	6.3%
3	5663	6.0%
1	4570	4.9%
e	4478	4.8%
g	3015	3.2%
n	3015	3.2%
Other values (9)	14369	15.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	93856	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
I	20003	21.3%
C	20003	21.3%
2	6769	7.2%
a	6030	6.4%
r	5941	6.3%
3	5663	6.0%
1	4570	4.9%
e	4478	4.8%
g	3015	3.2%
n	3015	3.2%
Other values (9)	14369	15.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	93856	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
I	20003	21.3%
C	20003	21.3%
2	6769	7.2%
a	6030	6.4%
r	5941	6.3%
3	5663	6.0%
1	4570	4.9%
e	4478	4.8%
g	3015	3.2%
n	3015	3.2%
Other values (9)	14369	15.3%

is_manager
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0	20003
1	4997

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	25000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	20003	80.0%
1	4997	20.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	20003	80.0%
1	4997	20.0%

Most occurring characters

Value	Count	Frequency (%)
0	20003	80.0%
1	4997	20.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	20003	80.0%
1	4997	20.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	20003	80.0%
1	4997	20.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	20003	80.0%
1	4997	20.0%

age
Real number (ℝ)

Distinct	47
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.99396

Minimum	18
Maximum	64
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	18
5-th percentile	22
Q1	29
median	34
Q3	39
95-th percentile	46
Maximum	64
Range	46
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	7.3444619
Coefficient of variation (CV)	0.21605197
Kurtosis	-0.20767657
Mean	33.99396
Median Absolute Deviation (MAD)	5
Skewness	0.088059903
Sum	849849
Variance	53.941121
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
34	1361	5.4%
35	1348	5.4%
32	1319	5.3%
36	1313	5.3%
33	1312	5.2%
31	1252	5.0%
37	1200	4.8%
30	1140	4.6%
29	1121	4.5%
38	1081	4.3%
Other values (37)	12553	50.2%

Value	Count	Frequency (%)
18	493	2.0%
19	170	0.7%
20	246	1.0%
21	295	1.2%
22	369	1.5%
23	434	1.7%
24	527	2.1%
25	639	2.6%
26	788	3.2%
27	819	3.3%

Value	Count	Frequency (%)
64	1	< 0.1%
63	1	< 0.1%
62	1	< 0.1%
61	4	< 0.1%
60	1	< 0.1%
59	3	< 0.1%
58	9	< 0.1%
57	9	< 0.1%
56	16	0.1%
55	22	0.1%

gender
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

M	13017
F	11292
Other/Undisclosed	691

Length

Max length	17
Median length	1
Mean length	1.44224
Min length	1

Characters and Unicode

Total characters	36056
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	F
2nd row	F
3rd row	M
4th row	M
5th row	F

Common Values

Value	Count	Frequency (%)
M	13017	52.1%
F	11292	45.2%
Other/Undisclosed	691	2.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
m	13017	52.1%
f	11292	45.2%
other/undisclosed	691	2.8%

Most occurring characters

Value	Count	Frequency (%)
M	13017	36.1%
F	11292	31.3%
e	1382	3.8%
d	1382	3.8%
s	1382	3.8%
O	691	1.9%
t	691	1.9%
h	691	1.9%
r	691	1.9%
/	691	1.9%
Other values (6)	4146	11.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	36056	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
M	13017	36.1%
F	11292	31.3%
e	1382	3.8%
d	1382	3.8%
s	1382	3.8%
O	691	1.9%
t	691	1.9%
h	691	1.9%
r	691	1.9%
/	691	1.9%
Other values (6)	4146	11.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	36056	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
M	13017	36.1%
F	11292	31.3%
e	1382	3.8%
d	1382	3.8%
s	1382	3.8%
O	691	1.9%
t	691	1.9%
h	691	1.9%
r	691	1.9%
/	691	1.9%
Other values (6)	4146	11.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	36056	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
M	13017	36.1%
F	11292	31.3%
e	1382	3.8%
d	1382	3.8%
s	1382	3.8%
O	691	1.9%
t	691	1.9%
h	691	1.9%
r	691	1.9%
/	691	1.9%
Other values (6)	4146	11.5%

remote_status
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

Hybrid	11211
Remote	8769
Onsite	5020

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	150000
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Hybrid
2nd row	Hybrid
3rd row	Onsite
4th row	Remote
5th row	Onsite

Common Values

Value	Count	Frequency (%)
Hybrid	11211	44.8%
Remote	8769	35.1%
Onsite	5020	20.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
hybrid	11211	44.8%
remote	8769	35.1%
onsite	5020	20.1%

Most occurring characters

Value	Count	Frequency (%)
e	22558	15.0%
i	16231	10.8%
t	13789	9.2%
H	11211	7.5%
y	11211	7.5%
b	11211	7.5%
r	11211	7.5%
d	11211	7.5%
R	8769	5.8%
m	8769	5.8%
Other values (4)	23829	15.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	150000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	22558	15.0%
i	16231	10.8%
t	13789	9.2%
H	11211	7.5%
y	11211	7.5%
b	11211	7.5%
r	11211	7.5%
d	11211	7.5%
R	8769	5.8%
m	8769	5.8%
Other values (4)	23829	15.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	150000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	22558	15.0%
i	16231	10.8%
t	13789	9.2%
H	11211	7.5%
y	11211	7.5%
b	11211	7.5%
r	11211	7.5%
d	11211	7.5%
R	8769	5.8%
m	8769	5.8%
Other values (4)	23829	15.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	150000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	22558	15.0%
i	16231	10.8%
t	13789	9.2%
H	11211	7.5%
y	11211	7.5%
b	11211	7.5%
r	11211	7.5%
d	11211	7.5%
R	8769	5.8%
m	8769	5.8%
Other values (4)	23829	15.9%

commute_km
Real number (ℝ)

Zeros

Distinct	496
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.752276

Minimum	0
Maximum	72.8
Zeros	8772
Zeros (%)	35.1%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	5.5
Q3	12.4
95-th percentile	25
Maximum	72.8
Range	72.8
Interquartile range (IQR)	12.4

Descriptive statistics

Standard deviation	8.8430181
Coefficient of variation (CV)	1.1406996
Kurtosis	2.7375242
Mean	7.752276
Median Absolute Deviation (MAD)	5.5
Skewness	1.4610987
Sum	193806.9
Variance	78.198968
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	8772	35.1%
5.3	119	0.5%
8.1	116	0.5%
7.2	115	0.5%
8.8	115	0.5%
8.3	114	0.5%
4.9	112	0.4%
5	112	0.4%
5.6	111	0.4%
4.4	110	0.4%
Other values (486)	15204	60.8%

Value	Count	Frequency (%)
0	8772	35.1%
0.1	1	< 0.1%
0.2	10	< 0.1%
0.3	13	0.1%
0.4	12	< 0.1%
0.5	25	0.1%
0.6	35	0.1%
0.7	24	0.1%
0.8	21	0.1%
0.9	32	0.1%

Value	Count	Frequency (%)
72.8	1	< 0.1%
72.6	1	< 0.1%
69.2	1	< 0.1%
65.6	1	< 0.1%
65.4	1	< 0.1%
64.9	1	< 0.1%
61	1	< 0.1%
60.9	1	< 0.1%
60.3	1	< 0.1%
58.5	1	< 0.1%

tenure_years
Real number (ℝ)

High correlation

Distinct	1460
Distinct (%)	5.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.4997008

Minimum	0.06
Maximum	14.94
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	0.06
5-th percentile	2.24
Q1	4.99
median	7.53
Q3	10
95-th percentile	12.69
Maximum	14.94
Range	14.88
Interquartile range (IQR)	5.01

Descriptive statistics

Standard deviation	3.2250834
Coefficient of variation (CV)	0.43002827
Kurtosis	-0.82547659
Mean	7.4997008
Median Absolute Deviation (MAD)	2.505
Skewness	-0.010356751
Sum	187492.52
Variance	10.401163
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.84	43	0.2%
7.16	42	0.2%
5.28	40	0.2%
9.14	40	0.2%
9.6	40	0.2%
5.75	39	0.2%
9.34	39	0.2%
6.87	38	0.2%
5.97	38	0.2%
9.28	38	0.2%
Other values (1450)	24603	98.4%

Value	Count	Frequency (%)
0.06	1	< 0.1%
0.09	1	< 0.1%
0.1	2	< 0.1%
0.12	1	< 0.1%
0.13	1	< 0.1%
0.14	1	< 0.1%
0.15	1	< 0.1%
0.16	2	< 0.1%
0.19	1	< 0.1%
0.21	2	< 0.1%

Value	Count	Frequency (%)
14.94	2	< 0.1%
14.92	1	< 0.1%
14.89	1	< 0.1%
14.88	1	< 0.1%
14.86	1	< 0.1%
14.83	2	< 0.1%
14.8	1	< 0.1%
14.79	2	< 0.1%
14.78	1	< 0.1%
14.77	2	< 0.1%

base_salary
Real number (ℝ)

High correlation

Distinct	22455
Distinct (%)	89.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	116362.83

Minimum	45000
Maximum	348743
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	45000
5-th percentile	68636.95
Q1	89044.5
median	109374
Q3	135678.5
95-th percentile	187896
Maximum	348743
Range	303743
Interquartile range (IQR)	46634

Descriptive statistics

Standard deviation	38150.254
Coefficient of variation (CV)	0.327856
Kurtosis	2.6645665
Mean	116362.83
Median Absolute Deviation (MAD)	22589.5
Skewness	1.2811982
Sum	2.9090709 × 10⁹
Variance	1.4554419 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
78168	5	< 0.1%
100759	4	< 0.1%
91990	4	< 0.1%
95372	4	< 0.1%
96988	4	< 0.1%
115119	4	< 0.1%
91745	4	< 0.1%
113201	4	< 0.1%
87411	4	< 0.1%
103192	4	< 0.1%
Other values (22445)	24959	99.8%

Value	Count	Frequency (%)
45000	2	< 0.1%
45953	1	< 0.1%
46879	1	< 0.1%
47482	1	< 0.1%
47483	1	< 0.1%
47499	1	< 0.1%
47599	1	< 0.1%
47797	1	< 0.1%
48413	1	< 0.1%
48837	1	< 0.1%

Value	Count	Frequency (%)
348743	1	< 0.1%
333270	1	< 0.1%
332585	1	< 0.1%
328636	1	< 0.1%
328595	1	< 0.1%
327821	1	< 0.1%
327736	1	< 0.1%
327044	1	< 0.1%
325557	1	< 0.1%
324355	1	< 0.1%

compa_ratio
Real number (ℝ)

Distinct	91
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.0004432

Minimum	0.56
Maximum	1.48
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	0.56
5-th percentile	0.8
Q1	0.92
median	1
Q3	1.08
95-th percentile	1.2
Maximum	1.48
Range	0.92
Interquartile range (IQR)	0.16

Descriptive statistics

Standard deviation	0.11976685
Coefficient of variation (CV)	0.11971379
Kurtosis	-0.077725934
Mean	1.0004432
Median Absolute Deviation (MAD)	0.08
Skewness	0.019523293
Sum	25011.08
Variance	0.014344097
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.03	842	3.4%
0.99	837	3.3%
0.96	831	3.3%
0.97	824	3.3%
1.02	821	3.3%
1.04	815	3.3%
1.05	787	3.1%
0.98	784	3.1%
1.01	780	3.1%
1	773	3.1%
Other values (81)	16906	67.6%

Value	Count	Frequency (%)
0.56	1	< 0.1%
0.57	1	< 0.1%
0.59	1	< 0.1%
0.6	1	< 0.1%
0.61	4	< 0.1%
0.62	7	< 0.1%
0.63	7	< 0.1%
0.64	10	< 0.1%
0.65	7	< 0.1%
0.66	9	< 0.1%

Value	Count	Frequency (%)
1.48	1	< 0.1%
1.46	1	< 0.1%
1.45	1	< 0.1%
1.44	1	< 0.1%
1.43	2	< 0.1%
1.42	1	< 0.1%
1.41	2	< 0.1%
1.4	3	< 0.1%
1.39	6	< 0.1%
1.38	5	< 0.1%

avg_raise_3y
Real number (ℝ)

Distinct	47
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.0299848

Minimum	0.008
Maximum	0.056
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	0.008
5-th percentile	0.02
Q1	0.026
median	0.03
Q3	0.034
95-th percentile	0.04
Maximum	0.056
Range	0.048
Interquartile range (IQR)	0.008

Descriptive statistics

Standard deviation	0.0058103769
Coefficient of variation (CV)	0.19377741
Kurtosis	-0.022564766
Mean	0.0299848
Median Absolute Deviation (MAD)	0.004
Skewness	0.015641571
Sum	749.62
Variance	3.3760479 × 10^-5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
0.031	1736	6.9%
0.029	1728	6.9%
0.03	1701	6.8%
0.028	1625	6.5%
0.032	1589	6.4%
0.027	1562	6.2%
0.033	1497	6.0%
0.026	1314	5.3%
0.034	1302	5.2%
0.025	1183	4.7%
Other values (37)	9763	39.1%

Value	Count	Frequency (%)
0.008	2	< 0.1%
0.01	4	< 0.1%
0.011	10	< 0.1%
0.012	10	< 0.1%
0.013	17	0.1%
0.014	32	0.1%
0.015	77	0.3%
0.016	87	0.3%
0.017	158	0.6%
0.018	201	0.8%

Value	Count	Frequency (%)
0.056	1	< 0.1%
0.054	1	< 0.1%
0.053	1	< 0.1%
0.052	4	< 0.1%
0.051	2	< 0.1%
0.05	4	< 0.1%
0.049	4	< 0.1%
0.048	13	0.1%
0.047	22	0.1%
0.046	42	0.2%

time_since_last_promo_yrs
Real number (ℝ)

Distinct	752
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.9938844

Minimum	0.03
Maximum	10.89
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	0.03
5-th percentile	0.45
Q1	1.06
median	1.74
Q3	2.65
95-th percentile	4.3905
Maximum	10.89
Range	10.86
Interquartile range (IQR)	1.59

Descriptive statistics

Standard deviation	1.2619242
Coefficient of variation (CV)	0.63289739
Kurtosis	2.4135821
Mean	1.9938844
Median Absolute Deviation (MAD)	0.76
Skewness	1.2621984
Sum	49847.11
Variance	1.5924528
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.13	114	0.5%
1.4	113	0.5%
1.17	111	0.4%
1.18	108	0.4%
1.63	108	0.4%
1.15	107	0.4%
1.06	106	0.4%
1.48	106	0.4%
1.12	105	0.4%
1.46	104	0.4%
Other values (742)	23918	95.7%

Value	Count	Frequency (%)
0.03	2	< 0.1%
0.04	2	< 0.1%
0.05	2	< 0.1%
0.06	3	< 0.1%
0.07	5	< 0.1%
0.08	6	< 0.1%
0.09	9	< 0.1%
0.1	6	< 0.1%
0.11	6	< 0.1%
0.12	15	0.1%

Value	Count	Frequency (%)
10.89	1	< 0.1%
10.61	1	< 0.1%
10.6	1	< 0.1%
10.56	1	< 0.1%
9.92	1	< 0.1%
9.57	2	< 0.1%
9.18	1	< 0.1%
9.15	1	< 0.1%
9.12	1	< 0.1%
8.95	2	< 0.1%

internal_moves_last_2y
Real number (ℝ)

Zeros

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.24852

Minimum	0
Maximum	5
Zeros	19454
Zeros (%)	77.8%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.49522482
Coefficient of variation (CV)	1.992696
Kurtosis	4.2156319
Mean	0.24852
Median Absolute Deviation (MAD)	0
Skewness	2.0014418
Sum	6213
Variance	0.24524762
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	19454	77.8%
1	4936	19.7%
2	559	2.2%
3	46	0.2%
4	4	< 0.1%
5	1	< 0.1%

Value	Count	Frequency (%)
0	19454	77.8%
1	4936	19.7%
2	559	2.2%
3	46	0.2%
4	4	< 0.1%
5	1	< 0.1%

Value	Count	Frequency (%)
5	1	< 0.1%
4	4	< 0.1%
3	46	0.2%
2	559	2.2%
1	4936	19.7%
0	19454	77.8%

performance_rating
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

3	11354
4	6181
2	3738
5	2486
1	1241

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	25000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	3
3rd row	4
4th row	5
5th row	3

Common Values

Value	Count	Frequency (%)
3	11354	45.4%
4	6181	24.7%
2	3738	15.0%
5	2486	9.9%
1	1241	5.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	11354	45.4%
4	6181	24.7%
2	3738	15.0%
5	2486	9.9%
1	1241	5.0%

Most occurring characters

Value	Count	Frequency (%)
3	11354	45.4%
4	6181	24.7%
2	3738	15.0%
5	2486	9.9%
1	1241	5.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	11354	45.4%
4	6181	24.7%
2	3738	15.0%
5	2486	9.9%
1	1241	5.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	11354	45.4%
4	6181	24.7%
2	3738	15.0%
5	2486	9.9%
1	1241	5.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	11354	45.4%
4	6181	24.7%
2	3738	15.0%
5	2486	9.9%
1	1241	5.0%

engagement_score
Real number (ℝ)

Missing

Distinct	710
Distinct (%)	3.1%
Missing	1966
Missing (%)	7.9%
Infinite	0
Infinite (%)	0.0%
Mean	7.2637258

Minimum	2.03
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	2.03
5-th percentile	5
Q1	6.36
median	7.29
Q3	8.2
95-th percentile	9.53
Maximum	10
Range	7.97
Interquartile range (IQR)	1.84

Descriptive statistics

Standard deviation	1.3544697
Coefficient of variation (CV)	0.18647038
Kurtosis	-0.21004836
Mean	7.2637258
Median Absolute Deviation (MAD)	0.92
Skewness	-0.16110524
Sum	167312.66
Variance	1.8345883
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	586	2.3%
7.38	85	0.3%
7.04	81	0.3%
7	81	0.3%
7.45	80	0.3%
7.18	80	0.3%
7.16	80	0.3%
7.15	79	0.3%
7.99	79	0.3%
7.32	79	0.3%
Other values (700)	21724	86.9%
(Missing)	1966	7.9%

Value	Count	Frequency (%)
2.03	1	< 0.1%
2.08	1	< 0.1%
2.21	1	< 0.1%
2.41	1	< 0.1%
2.44	1	< 0.1%
2.48	1	< 0.1%
2.62	2	< 0.1%
2.63	1	< 0.1%
2.67	1	< 0.1%
2.7	1	< 0.1%

Value	Count	Frequency (%)
10	586	2.3%
9.99	12	< 0.1%
9.98	7	< 0.1%
9.97	11	< 0.1%
9.96	7	< 0.1%
9.95	15	0.1%
9.94	4	< 0.1%
9.93	9	< 0.1%
9.92	7	< 0.1%
9.91	9	< 0.1%

manager_quality
Real number (ℝ)

Missing

Distinct	771
Distinct (%)	3.3%
Missing	1786
Missing (%)	7.1%
Infinite	0
Infinite (%)	0.0%
Mean	7.066444

Minimum	1.01
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	1.01
5-th percentile	4.45
Q1	6.01
median	7.09
Q3	8.16
95-th percentile	9.72
Maximum	10
Range	8.99
Interquartile range (IQR)	2.15

Descriptive statistics

Standard deviation	1.5481619
Coefficient of variation (CV)	0.21908641
Kurtosis	-0.31130817
Mean	7.066444
Median Absolute Deviation (MAD)	1.08
Skewness	-0.17360933
Sum	164040.43
Variance	2.3968051
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	793	3.2%
6.84	74	0.3%
7.46	73	0.3%
6.75	73	0.3%
7.15	71	0.3%
6.76	70	0.3%
7.34	70	0.3%
7.09	69	0.3%
7.33	68	0.3%
7.11	68	0.3%
Other values (761)	21785	87.1%
(Missing)	1786	7.1%

Value	Count	Frequency (%)
1.01	1	< 0.1%
1.39	1	< 0.1%
1.44	1	< 0.1%
1.54	1	< 0.1%
1.62	1	< 0.1%
1.64	1	< 0.1%
1.67	1	< 0.1%
1.71	1	< 0.1%
1.83	1	< 0.1%
1.94	1	< 0.1%

Value	Count	Frequency (%)
10	793	3.2%
9.99	12	< 0.1%
9.98	8	< 0.1%
9.97	12	< 0.1%
9.96	7	< 0.1%
9.95	8	< 0.1%
9.94	17	0.1%
9.93	11	< 0.1%
9.92	10	< 0.1%
9.91	15	0.1%

workload_score
Real number (ℝ)

Distinct	894
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.9869036

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2.93
Q1	4.73
median	6
Q3	7.26
95-th percentile	9.02
Maximum	10
Range	9
Interquartile range (IQR)	2.53

Descriptive statistics

Standard deviation	1.8203789
Coefficient of variation (CV)	0.30406017
Kurtosis	-0.33749791
Mean	5.9869036
Median Absolute Deviation (MAD)	1.27
Skewness	-0.065035976
Sum	149672.59
Variance	3.3137794
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	315	1.3%
6.63	71	0.3%
1	70	0.3%
6.64	67	0.3%
6.01	66	0.3%
5.79	65	0.3%
5.59	65	0.3%
6.29	65	0.3%
4.88	64	0.3%
5.53	63	0.3%
Other values (884)	24089	96.4%

Value	Count	Frequency (%)
1	70	0.3%
1.01	1	< 0.1%
1.04	4	< 0.1%
1.05	2	< 0.1%
1.06	2	< 0.1%
1.08	3	< 0.1%
1.09	2	< 0.1%
1.1	2	< 0.1%
1.11	2	< 0.1%
1.12	2	< 0.1%

Value	Count	Frequency (%)
10	315	1.3%
9.99	6	< 0.1%
9.98	6	< 0.1%
9.97	8	< 0.1%
9.96	8	< 0.1%
9.95	4	< 0.1%
9.94	6	< 0.1%
9.93	6	< 0.1%
9.92	3	< 0.1%
9.91	6	< 0.1%

learning_hours_last_yr
Real number (ℝ)

Distinct	811
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.968396

Minimum	0.1
Maximum	120.3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	0.1
5-th percentile	3.6
Q1	9.6
median	16.8
Q3	26.8
95-th percentile	47.5
Maximum	120.3
Range	120.2
Interquartile range (IQR)	17.2

Descriptive statistics

Standard deviation	14.10974
Coefficient of variation (CV)	0.70660356
Kurtosis	2.8394969
Mean	19.968396
Median Absolute Deviation (MAD)	8.2
Skewness	1.4002644
Sum	499209.9
Variance	199.08476
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.5	109	0.4%
8.3	108	0.4%
8.7	105	0.4%
9.4	104	0.4%
9	103	0.4%
14.1	102	0.4%
9.9	101	0.4%
10.6	100	0.4%
7.4	100	0.4%
7.1	99	0.4%
Other values (801)	23969	95.9%

Value	Count	Frequency (%)
0.1	2	< 0.1%
0.2	4	< 0.1%
0.3	7	< 0.1%
0.4	5	< 0.1%
0.5	13	0.1%
0.6	14	0.1%
0.7	12	< 0.1%
0.8	19	0.1%
0.9	15	0.1%
1	15	0.1%

Value	Count	Frequency (%)
120.3	1	< 0.1%
119.5	1	< 0.1%
114.5	1	< 0.1%
112.8	1	< 0.1%
112.7	1	< 0.1%
106.7	1	< 0.1%
105.9	1	< 0.1%
105.7	1	< 0.1%
105.1	1	< 0.1%
103.7	1	< 0.1%

overtime_hours_month
Real number (ℝ)

Distinct	548
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.130552

Minimum	0.1
Maximum	89.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	0.1
5-th percentile	2.6
Q1	6.6
median	11.1
Q3	17.6
95-th percentile	30.4
Maximum	89.9
Range	89.8
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	8.9076836
Coefficient of variation (CV)	0.67839369
Kurtosis	3.0310011
Mean	13.130552
Median Absolute Deviation (MAD)	5.2
Skewness	1.3926026
Sum	328263.8
Variance	79.346828
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.6	170	0.7%
7.7	167	0.7%
5.3	163	0.7%
6.8	160	0.6%
7.8	160	0.6%
9	157	0.6%
6	157	0.6%
7.4	157	0.6%
10.7	154	0.6%
6.3	154	0.6%
Other values (538)	23401	93.6%

Value	Count	Frequency (%)
0.1	1	< 0.1%
0.2	3	< 0.1%
0.3	6	< 0.1%
0.4	27	0.1%
0.5	20	0.1%
0.6	29	0.1%
0.7	33	0.1%
0.8	24	0.1%
0.9	38	0.2%
1	32	0.1%

Value	Count	Frequency (%)
89.9	1	< 0.1%
80.2	1	< 0.1%
76.9	1	< 0.1%
73.6	1	< 0.1%
72.4	1	< 0.1%
70.6	1	< 0.1%
70	1	< 0.1%
69.6	1	< 0.1%
68.6	1	< 0.1%
67.1	1	< 0.1%

night_shift
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0	22438
1	2562

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	25000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	22438	89.8%
1	2562	10.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	22438	89.8%
1	2562	10.2%

Most occurring characters

Value	Count	Frequency (%)
0	22438	89.8%
1	2562	10.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	22438	89.8%
1	2562	10.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	22438	89.8%
1	2562	10.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	22438	89.8%
1	2562	10.2%

schedule_flex
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0	15033
1	9967

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	25000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	15033	60.1%
1	9967	39.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	15033	60.1%
1	9967	39.9%

Most occurring characters

Value	Count	Frequency (%)
0	15033	60.1%
1	9967	39.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	15033	60.1%
1	9967	39.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	15033	60.1%
1	9967	39.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	15033	60.1%
1	9967	39.9%

stock_grants
Real number (ℝ)

High correlation Zeros

Distinct	7648
Distinct (%)	30.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12797.86

Minimum	0
Maximum	209119
Zeros	17002
Zeros (%)	68.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	17546
95-th percentile	66207.25
Maximum	209119
Range	209119
Interquartile range (IQR)	17546

Descriptive statistics

Standard deviation	24486.708
Coefficient of variation (CV)	1.913344
Kurtosis	6.9399809
Mean	12797.86
Median Absolute Deviation (MAD)	0
Skewness	2.4137267
Sum	3.1994649 × 10⁸
Variance	5.9959885 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	17002	68.0%
12139	4	< 0.1%
30399	3	< 0.1%
62647	3	< 0.1%
34413	3	< 0.1%
29078	3	< 0.1%
20592	3	< 0.1%
44592	3	< 0.1%
40289	3	< 0.1%
26060	3	< 0.1%
Other values (7638)	7970	31.9%

Value	Count	Frequency (%)
0	17002	68.0%
199	1	< 0.1%
311	1	< 0.1%
345	1	< 0.1%
380	1	< 0.1%
386	1	< 0.1%
472	1	< 0.1%
529	1	< 0.1%
558	1	< 0.1%
632	1	< 0.1%

Value	Count	Frequency (%)
209119	1	< 0.1%
206873	1	< 0.1%
206496	1	< 0.1%
204644	1	< 0.1%
193563	1	< 0.1%
193237	1	< 0.1%
192968	1	< 0.1%
192585	1	< 0.1%
192106	1	< 0.1%
187256	1	< 0.1%

benefit_score
Real number (ℝ)

Distinct	694
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.0113336

Minimum	1.36
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	1.36
5-th percentile	4.92
Q1	6.14
median	7.02
Q3	7.88
95-th percentile	9.15
Maximum	10
Range	8.64
Interquartile range (IQR)	1.74

Descriptive statistics

Standard deviation	1.277129
Coefficient of variation (CV)	0.18215208
Kurtosis	-0.15325863
Mean	7.0113336
Median Absolute Deviation (MAD)	0.865
Skewness	-0.057952014
Sum	175283.34
Variance	1.6310585
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	281	1.1%
6.69	98	0.4%
6.74	97	0.4%
7.55	91	0.4%
6.62	91	0.4%
6.89	91	0.4%
7.56	90	0.4%
7.11	87	0.3%
6.88	87	0.3%
6.7	87	0.3%
Other values (684)	23900	95.6%

Value	Count	Frequency (%)
1.36	1	< 0.1%
2.26	1	< 0.1%
2.29	1	< 0.1%
2.38	1	< 0.1%
2.4	1	< 0.1%
2.52	1	< 0.1%
2.66	1	< 0.1%
2.73	1	< 0.1%
2.74	2	< 0.1%
2.76	3	< 0.1%

Value	Count	Frequency (%)
10	281	1.1%
9.99	4	< 0.1%
9.98	2	< 0.1%
9.97	6	< 0.1%
9.96	7	< 0.1%
9.95	3	< 0.1%
9.94	4	< 0.1%
9.93	7	< 0.1%
9.92	4	< 0.1%
9.91	9	< 0.1%

sick_days
Real number (ℝ)

Zeros

Distinct	175
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.004832

Minimum	0
Maximum	20.6
Zeros	312
Zeros (%)	1.2%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1.5
Q1	4
median	5.9
Q3	7.9
95-th percentile	10.9
Maximum	20.6
Range	20.6
Interquartile range (IQR)	3.9

Descriptive statistics

Standard deviation	2.8598057
Coefficient of variation (CV)	0.47625074
Kurtosis	0.076276547
Mean	6.004832
Median Absolute Deviation (MAD)	1.9
Skewness	0.32512578
Sum	150120.8
Variance	8.1784886
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5.3	369	1.5%
5.4	361	1.4%
6.7	359	1.4%
6.5	357	1.4%
5.2	356	1.4%
5.8	355	1.4%
5.9	351	1.4%
5.5	351	1.4%
4.9	350	1.4%
4.7	347	1.4%
Other values (165)	21444	85.8%

Value	Count	Frequency (%)
0	312	1.2%
0.1	32	0.1%
0.2	31	0.1%
0.3	43	0.2%
0.4	54	0.2%
0.5	42	0.2%
0.6	64	0.3%
0.7	58	0.2%
0.8	61	0.2%
0.9	86	0.3%

Value	Count	Frequency (%)
20.6	2	< 0.1%
19.6	1	< 0.1%
18.8	1	< 0.1%
18.5	1	< 0.1%
18.4	1	< 0.1%
18.1	1	< 0.1%
18	1	< 0.1%
17.7	1	< 0.1%
17.6	1	< 0.1%
17.5	1	< 0.1%

pto_days_taken
Real number (ℝ)

Distinct	324
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.0085

Minimum	0
Maximum	37
Zeros	16
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	0
5-th percentile	7.7
Q1	12.7
median	16
Q3	19.3
95-th percentile	24.2
Maximum	37
Range	37
Interquartile range (IQR)	6.6

Descriptive statistics

Standard deviation	4.9852799
Coefficient of variation (CV)	0.31141456
Kurtosis	-0.0052182996
Mean	16.0085
Median Absolute Deviation (MAD)	3.3
Skewness	0.0018824927
Sum	400212.5
Variance	24.853016
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16.4	233	0.9%
15.4	224	0.9%
15.8	224	0.9%
16.7	222	0.9%
16.9	217	0.9%
16.3	213	0.9%
16.6	213	0.9%
17.2	209	0.8%
17.1	208	0.8%
15.2	206	0.8%
Other values (314)	22831	91.3%

Value	Count	Frequency (%)
0	16	0.1%
0.1	1	< 0.1%
0.2	1	< 0.1%
0.4	2	< 0.1%
0.5	1	< 0.1%
0.7	4	< 0.1%
0.8	2	< 0.1%
1	3	< 0.1%
1.1	3	< 0.1%
1.2	5	< 0.1%

Value	Count	Frequency (%)
37	1	< 0.1%
34.4	1	< 0.1%
34.1	2	< 0.1%
33.9	1	< 0.1%
33.4	1	< 0.1%
33.2	1	< 0.1%
33.1	1	< 0.1%
32.9	2	< 0.1%
32.7	2	< 0.1%
32.4	1	< 0.1%

leave_last_yr
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0	21294
1	3706

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	25000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	21294	85.2%
1	3706	14.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	21294	85.2%
1	3706	14.8%

Most occurring characters

Value	Count	Frequency (%)
0	21294	85.2%
1	3706	14.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	21294	85.2%
1	3706	14.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	21294	85.2%
1	3706	14.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	21294	85.2%
1	3706	14.8%

team_id
Real number (ℝ)

Distinct	400
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	200.80212

Minimum	1
Maximum	400
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	1
5-th percentile	20
Q1	101
median	201
Q3	300
95-th percentile	380
Maximum	400
Range	399
Interquartile range (IQR)	199

Descriptive statistics

Standard deviation	115.31722
Coefficient of variation (CV)	0.57428286
Kurtosis	-1.1970687
Mean	200.80212
Median Absolute Deviation (MAD)	99
Skewness	-0.0069062091
Sum	5020053
Variance	13298.06
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
353	90	0.4%
48	82	0.3%
175	80	0.3%
223	79	0.3%
116	79	0.3%
259	79	0.3%
272	78	0.3%
64	78	0.3%
242	78	0.3%
5	77	0.3%
Other values (390)	24200	96.8%

Value	Count	Frequency (%)
1	58	0.2%
2	70	0.3%
3	65	0.3%
4	61	0.2%
5	77	0.3%
6	68	0.3%
7	61	0.2%
8	74	0.3%
9	61	0.2%
10	54	0.2%

Value	Count	Frequency (%)
400	73	0.3%
399	51	0.2%
398	64	0.3%
397	74	0.3%
396	73	0.3%
395	58	0.2%
394	75	0.3%
393	63	0.3%
392	61	0.2%
391	68	0.3%

exit_interview_scheduled
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0	21477
1	3523

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	25000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	21477	85.9%
1	3523	14.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	21477	85.9%
1	3523	14.1%

Most occurring characters

Value	Count	Frequency (%)
0	21477	85.9%
1	3523	14.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	21477	85.9%
1	3523	14.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	21477	85.9%
1	3523	14.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	21477	85.9%
1	3523	14.1%

offboarding_ticket_created
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0	21898
1	3102

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	25000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	21898	87.6%
1	3102	12.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	21898	87.6%
1	3102	12.4%

Most occurring characters

Value	Count	Frequency (%)
0	21898	87.6%
1	3102	12.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	21898	87.6%
1	3102	12.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	21898	87.6%
1	3102	12.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	21898	87.6%
1	3102	12.4%

attrited
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

0	20852
1	4148

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	25000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	20852	83.4%
1	4148	16.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	20852	83.4%
1	4148	16.6%

Most occurring characters

Value	Count	Frequency (%)
0	20852	83.4%
1	4148	16.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	20852	83.4%
1	4148	16.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	20852	83.4%
1	4148	16.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	25000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	20852	83.4%
1	4148	16.6%

months_since_hire
Real number (ℝ)

High correlation

Distinct	1742
Distinct (%)	7.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	89.988936

Minimum	0.8
Maximum	179.3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	195.4 KiB

Quantile statistics

Minimum	0.8
5-th percentile	26.9
Q1	59.9
median	90.3
Q3	120
95-th percentile	152.3
Maximum	179.3
Range	178.5
Interquartile range (IQR)	60.1

Descriptive statistics

Standard deviation	38.69745
Coefficient of variation (CV)	0.43002453
Kurtosis	-0.82547151
Mean	89.988936
Median Absolute Deviation (MAD)	30.1
Skewness	-0.010317304
Sum	2249723.4
Variance	1497.4926
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
71.6	36	0.1%
64.8	36	0.1%
101.1	34	0.1%
100.7	34	0.1%
94.1	33	0.1%
104	32	0.1%
60.3	32	0.1%
69	32	0.1%
87.5	31	0.1%
54.4	31	0.1%
Other values (1732)	24669	98.7%

Value	Count	Frequency (%)
0.8	1	< 0.1%
1.1	2	< 0.1%
1.2	1	< 0.1%
1.5	2	< 0.1%
1.7	1	< 0.1%
1.8	1	< 0.1%
1.9	2	< 0.1%
2.3	1	< 0.1%
2.5	2	< 0.1%
2.7	1	< 0.1%

Value	Count	Frequency (%)
179.3	1	< 0.1%
179.2	1	< 0.1%
179	1	< 0.1%
178.6	2	< 0.1%
178.3	1	< 0.1%
178	1	< 0.1%
177.9	1	< 0.1%
177.6	1	< 0.1%
177.5	2	< 0.1%
177.4	1	< 0.1%

salary_band
Categorical

High correlation Uniform

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

Q1	5001
Q4	5000
Q5	5000
Q3	5000
Q2	4999

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	50000
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Q4
2nd row	Q5
3rd row	Q3
4th row	Q4
5th row	Q3

Common Values

Value	Count	Frequency (%)
Q1	5001	20.0%
Q4	5000	20.0%
Q5	5000	20.0%
Q3	5000	20.0%
Q2	4999	20.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
q1	5001	20.0%
q4	5000	20.0%
q5	5000	20.0%
q3	5000	20.0%
q2	4999	20.0%

Most occurring characters

Value	Count	Frequency (%)
Q	25000	50.0%
1	5001	10.0%
4	5000	10.0%
5	5000	10.0%
3	5000	10.0%
2	4999	10.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
Q	25000	50.0%
1	5001	10.0%
4	5000	10.0%
5	5000	10.0%
3	5000	10.0%
2	4999	10.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
Q	25000	50.0%
1	5001	10.0%
4	5000	10.0%
5	5000	10.0%
3	5000	10.0%
2	4999	10.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
Q	25000	50.0%
1	5001	10.0%
4	5000	10.0%
5	5000	10.0%
3	5000	10.0%
2	4999	10.0%

Interactions

Correlations

	age	attrited	avg_raise_3y	base_salary	benefit_score	commute_km	compa_ratio	department	employee_id	engagement_score	exit_interview_scheduled	gender	internal_moves_last_2y	is_manager	learning_hours_last_yr	leave_last_yr	level	manager_quality	months_since_hire	night_shift	offboarding_ticket_created	overtime_hours_month	performance_rating	pto_days_taken	region	remote_status	role	salary_band	schedule_flex	sick_days	stock_grants	team_id	tenure_years	time_since_last_promo_yrs	workload_score
age	1.000	0.016	0.006	0.001	0.016	-0.003	-0.004	0.007	0.005	-0.008	0.014	0.013	0.004	0.000	-0.016	0.000	0.000	0.005	0.003	0.015	0.014	-0.009	0.000	-0.011	0.006	0.000	0.000	0.000	0.000	0.014	0.000	-0.006	0.003	-0.002	0.005
attrited	0.016	1.000	0.000	0.043	0.041	0.058	0.040	0.024	0.000	0.104	0.908	0.000	0.028	0.025	0.069	0.009	0.031	0.102	0.048	0.006	0.844	0.000	0.111	0.000	0.007	0.056	0.026	0.047	0.033	0.000	0.039	0.018	0.049	0.065	0.043
avg_raise_3y	0.006	0.000	1.000	0.004	0.014	0.012	0.015	0.006	0.008	-0.007	0.000	0.000	0.006	0.015	0.004	0.000	0.000	-0.006	-0.005	0.000	0.007	-0.013	0.001	-0.011	0.006	0.009	0.016	0.000	0.016	0.000	0.008	-0.004	-0.005	0.014	-0.003
base_salary	0.001	0.043	0.004	1.000	-0.003	-0.007	0.383	0.181	0.004	-0.002	0.039	0.000	0.002	0.611	0.001	0.000	0.444	0.004	0.003	0.013	0.034	0.004	0.000	-0.006	0.000	0.000	0.160	0.690	0.004	-0.005	0.620	0.009	0.003	-0.006	0.001
benefit_score	0.016	0.041	0.014	-0.003	1.000	0.002	0.001	0.014	0.006	0.008	0.040	0.000	-0.003	0.000	0.000	0.000	0.004	-0.000	-0.006	0.000	0.037	-0.001	0.009	0.006	0.013	0.010	0.016	0.008	0.000	-0.002	0.013	0.000	-0.006	0.006	-0.000
commute_km	-0.003	0.058	0.012	-0.007	0.002	1.000	-0.004	0.000	0.007	-0.005	0.053	0.017	-0.005	0.000	-0.005	0.011	0.004	-0.012	0.001	0.008	0.048	-0.008	0.000	-0.003	0.000	0.450	0.000	0.000	0.000	0.000	-0.005	0.006	0.001	0.003	-0.003
compa_ratio	-0.004	0.040	0.015	0.383	0.001	-0.004	1.000	0.000	0.003	0.005	0.036	0.000	0.002	0.000	-0.006	0.000	0.000	-0.002	0.003	0.000	0.029	-0.003	0.000	0.004	0.000	0.000	0.000	0.190	0.013	-0.003	-0.002	0.003	0.003	-0.008	0.005
department	0.007	0.024	0.006	0.181	0.014	0.000	0.000	1.000	0.000	0.000	0.017	0.011	0.010	0.007	0.007	0.009	0.000	0.004	0.003	0.000	0.023	0.000	0.011	0.000	0.015	0.000	0.999	0.240	0.000	0.000	0.000	0.003	0.002	0.009	0.007
employee_id	0.005	0.000	0.008	0.004	0.006	0.007	0.003	0.000	1.000	-0.008	0.000	0.000	0.000	0.008	-0.005	0.000	0.000	0.001	-0.007	0.013	0.000	0.006	0.004	0.001	0.000	0.000	0.008	0.008	0.010	-0.008	-0.003	-0.004	-0.007	-0.012	0.005
engagement_score	-0.008	0.104	-0.007	-0.002	0.008	-0.005	0.005	0.000	-0.008	1.000	0.096	0.006	-0.002	0.006	0.005	0.000	0.000	-0.000	0.005	0.011	0.087	-0.006	0.006	-0.005	0.000	0.000	0.000	0.000	0.000	0.014	-0.008	0.002	0.005	0.001	0.015
exit_interview_scheduled	0.014	0.908	0.000	0.039	0.040	0.053	0.036	0.017	0.000	0.096	1.000	0.000	0.024	0.027	0.064	0.006	0.031	0.091	0.042	0.002	0.771	0.000	0.101	0.000	0.008	0.049	0.024	0.042	0.027	0.000	0.037	0.015	0.043	0.060	0.041
gender	0.013	0.000	0.000	0.000	0.000	0.017	0.000	0.011	0.000	0.006	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.014	0.000	0.000	0.000	0.004	0.000	0.006	0.000	0.018	0.000	0.000	0.005	0.000	0.011	0.014	0.000	0.010
internal_moves_last_2y	0.004	0.028	0.006	0.002	-0.003	-0.005	0.002	0.010	0.000	-0.002	0.024	0.000	1.000	0.014	-0.002	0.000	0.018	-0.004	-0.000	0.000	0.021	-0.003	0.000	-0.007	0.000	0.000	0.004	0.000	0.000	-0.014	-0.004	-0.000	-0.000	0.005	-0.000
is_manager	0.000	0.025	0.015	0.611	0.000	0.000	0.000	0.007	0.008	0.006	0.027	0.000	0.014	1.000	0.000	0.000	1.000	0.010	0.013	0.000	0.021	0.019	0.000	0.017	0.007	0.000	0.025	0.575	0.000	0.017	0.589	0.000	0.016	0.000	0.000
learning_hours_last_yr	-0.016	0.069	0.004	0.001	0.000	-0.005	-0.006	0.007	-0.005	0.005	0.064	0.000	-0.002	0.000	1.000	0.011	0.000	0.007	0.006	0.000	0.062	-0.004	0.000	-0.004	0.009	0.016	0.000	0.000	0.000	-0.002	0.000	-0.004	0.006	0.000	0.003
leave_last_yr	0.000	0.009	0.000	0.000	0.000	0.011	0.000	0.009	0.000	0.000	0.006	0.000	0.000	0.000	0.011	1.000	0.000	0.000	0.000	0.000	0.012	0.007	0.000	0.000	0.000	0.000	0.007	0.006	0.000	0.020	0.000	0.012	0.000	0.000	0.000
level	0.000	0.031	0.000	0.444	0.004	0.004	0.000	0.000	0.000	0.000	0.031	0.000	0.018	1.000	0.000	0.000	1.000	0.007	0.013	0.012	0.026	0.004	0.000	0.007	0.000	0.008	0.010	0.435	0.000	0.011	0.326	0.000	0.014	0.000	0.006
manager_quality	0.005	0.102	-0.006	0.004	-0.000	-0.012	-0.002	0.004	0.001	-0.000	0.091	0.000	-0.004	0.010	0.007	0.000	0.007	1.000	0.002	0.012	0.086	0.009	0.000	-0.001	0.003	0.006	0.000	0.011	0.013	0.003	0.008	-0.000	0.002	0.003	0.005
months_since_hire	0.003	0.048	-0.005	0.003	-0.006	0.001	0.003	0.003	-0.007	0.005	0.042	0.014	-0.000	0.013	0.006	0.000	0.013	0.002	1.000	0.000	0.039	-0.003	0.000	-0.005	0.000	0.001	0.000	0.009	0.000	0.003	0.001	-0.000	1.000	0.005	-0.012
night_shift	0.015	0.006	0.000	0.013	0.000	0.008	0.000	0.000	0.013	0.011	0.002	0.000	0.000	0.000	0.000	0.000	0.012	0.012	0.000	1.000	0.009	0.000	0.000	0.013	0.005	0.004	0.002	0.000	0.000	0.005	0.000	0.011	0.000	0.011	0.013
offboarding_ticket_created	0.014	0.844	0.007	0.034	0.037	0.048	0.029	0.023	0.000	0.087	0.771	0.000	0.021	0.021	0.062	0.012	0.026	0.086	0.039	0.009	1.000	0.000	0.093	0.000	0.012	0.046	0.027	0.037	0.031	0.000	0.034	0.000	0.040	0.062	0.034
overtime_hours_month	-0.009	0.000	-0.013	0.004	-0.001	-0.008	-0.003	0.000	0.006	-0.006	0.000	0.000	-0.003	0.019	-0.004	0.007	0.004	0.009	-0.003	0.000	0.000	1.000	0.011	-0.005	0.000	0.000	0.000	0.009	0.000	0.000	-0.006	0.002	-0.003	-0.002	-0.002
performance_rating	0.000	0.111	0.001	0.000	0.009	0.000	0.000	0.011	0.004	0.006	0.101	0.004	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.093	0.011	1.000	0.000	0.000	0.000	0.013	0.009	0.008	0.000	0.000	0.000	0.000	0.005	0.002
pto_days_taken	-0.011	0.000	-0.011	-0.006	0.006	-0.003	0.004	0.000	0.001	-0.005	0.000	0.000	-0.007	0.017	-0.004	0.000	0.007	-0.001	-0.005	0.013	0.000	-0.005	0.000	1.000	0.000	0.009	0.000	0.000	0.007	0.005	0.001	-0.008	-0.005	-0.009	0.008
region	0.006	0.007	0.006	0.000	0.013	0.000	0.000	0.015	0.000	0.000	0.008	0.006	0.000	0.007	0.009	0.000	0.000	0.003	0.000	0.005	0.012	0.000	0.000	0.000	1.000	0.000	0.020	0.000	0.000	0.010	0.004	0.000	0.000	0.000	0.016
remote_status	0.000	0.056	0.009	0.000	0.010	0.450	0.000	0.000	0.000	0.000	0.049	0.000	0.000	0.000	0.016	0.000	0.008	0.006	0.001	0.004	0.046	0.000	0.000	0.009	0.000	1.000	0.006	0.002	0.000	0.000	0.003	0.007	0.000	0.000	0.000
role	0.000	0.026	0.016	0.160	0.016	0.000	0.000	0.999	0.008	0.000	0.024	0.018	0.004	0.025	0.000	0.007	0.010	0.000	0.000	0.002	0.027	0.000	0.013	0.000	0.020	0.006	1.000	0.241	0.000	0.000	0.000	0.007	0.000	0.000	0.011
salary_band	0.000	0.047	0.000	0.690	0.008	0.000	0.190	0.240	0.008	0.000	0.042	0.000	0.000	0.575	0.000	0.006	0.435	0.011	0.009	0.000	0.037	0.009	0.009	0.000	0.000	0.002	0.241	1.000	0.000	0.000	0.257	0.000	0.009	0.000	0.000
schedule_flex	0.000	0.033	0.016	0.004	0.000	0.000	0.013	0.000	0.010	0.000	0.027	0.000	0.000	0.000	0.000	0.000	0.000	0.013	0.000	0.000	0.031	0.000	0.008	0.007	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.012	0.000
sick_days	0.014	0.000	0.000	-0.005	-0.002	0.000	-0.003	0.000	-0.008	0.014	0.000	0.005	-0.014	0.017	-0.002	0.020	0.011	0.003	0.003	0.005	0.000	0.000	0.000	0.005	0.010	0.000	0.000	0.000	0.000	1.000	0.002	0.005	0.003	-0.002	0.015
stock_grants	0.000	0.039	0.008	0.620	0.013	-0.005	-0.002	0.000	-0.003	-0.008	0.037	0.000	-0.004	0.589	0.000	0.000	0.326	0.008	0.001	0.000	0.034	-0.006	0.000	0.001	0.004	0.003	0.000	0.257	0.000	0.002	1.000	0.010	0.001	-0.001	0.004
team_id	-0.006	0.018	-0.004	0.009	0.000	0.006	0.003	0.003	-0.004	0.002	0.015	0.011	-0.000	0.000	-0.004	0.012	0.000	-0.000	-0.000	0.011	0.000	0.002	0.000	-0.008	0.000	0.007	0.007	0.000	0.000	0.005	0.010	1.000	-0.000	-0.002	-0.007
tenure_years	0.003	0.049	-0.005	0.003	-0.006	0.001	0.003	0.002	-0.007	0.005	0.043	0.014	-0.000	0.016	0.006	0.000	0.014	0.002	1.000	0.000	0.040	-0.003	0.000	-0.005	0.000	0.000	0.000	0.009	0.000	0.003	0.001	-0.000	1.000	0.005	-0.012
time_since_last_promo_yrs	-0.002	0.065	0.014	-0.006	0.006	0.003	-0.008	0.009	-0.012	0.001	0.060	0.000	0.005	0.000	0.000	0.000	0.000	0.003	0.005	0.011	0.062	-0.002	0.005	-0.009	0.000	0.000	0.000	0.000	0.012	-0.002	-0.001	-0.002	0.005	1.000	-0.002
workload_score	0.005	0.043	-0.003	0.001	-0.000	-0.003	0.005	0.007	0.005	0.015	0.041	0.010	-0.000	0.000	0.003	0.000	0.006	0.005	-0.012	0.013	0.034	-0.002	0.002	0.008	0.016	0.000	0.011	0.000	0.000	0.015	0.004	-0.007	-0.012	-0.002	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	employee_id	snapshot_date	hire_date	region	department	role	level	is_manager	age	gender	remote_status	commute_km	tenure_years	base_salary	compa_ratio	avg_raise_3y	time_since_last_promo_yrs	internal_moves_last_2y	performance_rating	engagement_score	manager_quality	workload_score	learning_hours_last_yr	overtime_hours_month	night_shift	schedule_flex	stock_grants	benefit_score	sick_days	pto_days_taken	leave_last_yr	team_id	exit_interview_scheduled	offboarding_ticket_created	attrited	months_since_hire	salary_band
0	121752	2020-05-13	2014-08-10	AMER	Sales	Sales Manager	IC3	0	33	F	Hybrid	20.4	5.76	135037.0	1.23	0.034	0.71	0	4	7.02	6.73	5.72	7.0	3.2	0	0	0.0	6.99	9.1	16.7	0	85	0	0	0	69.1	Q4
1	107208	2020-09-20	2011-07-14	APAC	Engineering	SWE II	Manager	1	31	F	Hybrid	13.8	9.19	166104.0	0.95	0.027	1.43	0	3	9.52	7.33	6.15	42.8	17.3	0	0	73464.0	7.75	8.4	15.6	1	6	0	0	0	110.2	Q5
2	117058	2020-12-29	2013-07-28	EMEA	Sales	AE	IC2	0	40	M	Onsite	20.5	7.42	113486.0	1.21	0.028	4.67	1	4	7.45	7.93	6.18	34.9	13.5	0	0	0.0	6.76	6.6	19.5	0	177	0	0	0	89.1	Q3
3	120754	2023-10-31	2012-04-06	AMER	Engineering	ML Engineer	IC4	0	26	M	Remote	0.0	11.57	128470.0	0.80	0.034	0.83	0	5	NaN	6.33	8.26	11.1	8.1	0	0	33159.0	7.84	9.4	18.8	0	232	0	0	0	138.8	Q4
4	122505	2022-07-20	2015-05-25	APAC	HR	HRBP	IC3	0	31	F	Onsite	29.3	7.15	106256.0	1.06	0.033	1.15	0	3	7.46	6.26	4.84	14.0	13.1	0	0	0.0	6.05	5.4	17.4	0	328	1	0	1	85.8	Q3
5	110057	2024-01-14	2017-12-24	APAC	Operations	Ops Analyst	VP	1	40	F	Remote	0.0	6.06	220939.0	1.10	0.025	1.60	2	3	NaN	10.00	4.91	40.7	3.6	0	0	41217.0	7.90	9.2	19.5	0	184	0	0	0	72.7	Q5
6	101351	2024-07-10	2015-05-31	AMER	Engineering	SWE I	IC3	0	22	F	Hybrid	32.8	9.11	143768.0	1.03	0.029	2.57	0	3	4.68	4.74	6.66	26.1	9.4	0	0	0.0	8.08	5.5	19.5	0	18	1	1	1	109.3	Q5
7	106940	2023-11-25	2012-02-14	APAC	Finance	Accountant	IC2	0	25	F	Onsite	9.5	11.78	90998.0	0.97	0.036	1.02	1	3	6.61	6.08	7.44	61.8	10.4	1	1	0.0	6.87	3.0	15.2	0	395	0	0	0	141.3	Q2
8	118186	2021-10-14	2010-01-20	AMER	Sales	AE	IC1	0	28	M	Remote	0.0	11.73	68614.0	0.89	0.030	1.62	0	4	9.48	8.66	5.28	41.5	16.3	0	1	0.0	6.84	2.4	17.8	1	169	0	0	0	140.8	Q1
9	119489	2022-08-06	2013-09-02	APAC	Marketing	Brand	IC3	0	46	M	Hybrid	3.6	8.93	97654.0	0.93	0.027	0.73	1	5	7.28	5.49	8.20	16.9	11.8	0	0	0.0	8.26	4.7	17.2	0	289	0	0	0	107.1	Q2

	employee_id	snapshot_date	hire_date	region	department	role	level	is_manager	age	gender	remote_status	commute_km	tenure_years	base_salary	compa_ratio	avg_raise_3y	time_since_last_promo_yrs	internal_moves_last_2y	performance_rating	engagement_score	manager_quality	workload_score	learning_hours_last_yr	overtime_hours_month	schedule_flex	stock_grants	benefit_score	sick_days	pto_days_taken	leave_last_yr	team_id	exit_interview_scheduled	offboarding_ticket_created	attrited	months_since_hire	salary_band
24990	120825	2023-01-14	2015-10-12	EMEA	Marketing	Brand	Manager	1	45	F	Hybrid	21.3	7.26	142382.0	1.08	0.032	0.81	1	2	8.99	7.60	8.21	11.2	29.1	0	25294.0	6.52	6.7	19.7	0	288	0	0	0	87.1	Q4
24991	102583	2022-07-06	2015-07-11	APAC	Product	UX Researcher	IC3	0	34	F	Onsite	3.3	6.99	129090.0	0.96	0.034	1.54	1	3	6.97	NaN	4.10	8.3	16.7	0	0.0	7.74	6.4	8.4	0	346	0	0	0	83.8	Q4
24992	123950	2022-04-20	2019-11-24	EMEA	Engineering	ML Engineer	IC2	0	35	M	Hybrid	13.7	2.40	114436.0	0.96	0.037	1.72	1	3	10.00	5.77	7.76	29.3	15.7	0	0.0	5.70	9.2	19.7	0	118	1	1	1	28.8	Q3
24993	101372	2023-06-14	2016-03-18	AMER	Sales	SDR	IC1	0	38	F	Remote	0.0	7.24	85126.0	1.11	0.020	0.73	0	3	7.76	8.23	7.06	1.8	1.8	0	0.0	7.23	6.8	19.4	0	83	1	0	1	86.9	Q2
24994	113927	2024-07-04	2015-07-02	AMER	Product	UX Researcher	IC4	0	32	F	Hybrid	2.3	9.01	121153.0	0.78	0.023	1.31	0	5	8.26	4.79	7.47	0.6	11.3	0	26991.0	8.75	0.6	18.4	0	51	0	0	0	108.1	Q4
24995	100919	2023-10-23	2018-08-24	APAC	Operations	Ops Analyst	IC3	0	18	M	Remote	0.0	5.16	110413.0	1.10	0.026	3.25	0	3	8.14	8.55	6.15	7.3	13.4	1	0.0	8.46	0.6	27.9	1	129	0	0	0	62.0	Q3
24996	120691	2020-05-21	2019-08-25	APAC	Sales	AE	IC1	0	47	M	Onsite	39.5	0.74	79520.0	1.03	0.029	1.46	0	3	5.81	5.89	7.66	3.7	14.4	0	0.0	6.22	3.1	17.4	0	42	0	0	0	8.9	Q1
24997	105699	2020-09-18	2017-08-28	APAC	Operations	Ops Analyst	IC1	0	50	F	Hybrid	43.5	3.06	84228.0	1.20	0.044	3.38	0	3	10.00	4.62	2.71	59.1	8.9	0	0.0	6.32	8.1	7.1	0	187	0	0	0	36.7	Q1
24998	110742	2022-12-04	2012-11-10	APAC	Engineering	SWE II	Manager	1	38	M	Hybrid	8.5	10.06	155079.0	0.89	0.020	0.49	0	3	6.56	10.00	7.80	18.7	15.4	0	6397.0	6.80	7.6	19.8	0	128	0	0	0	120.8	Q5
24999	116921	2023-07-25	2016-04-24	APAC	Finance	Finance Manager	Manager	1	35	M	Remote	0.0	7.25	140194.0	1.02	0.036	2.66	2	4	6.89	5.34	7.84	9.2	12.0	0	42331.0	7.96	11.4	18.1	0	115	0	0	0	87.0	Q4

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values